基于量子计算的随机数生成与熵压缩

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper investigates the application of quantum computing to enhance the generation of random numbers and improve data compression through a novel approach to entropy compression. We propose a quantum random number generator (QRNG) leveraging quantum entanglement and superposition to produce high-quality random numbers, and then employ a quantum entropy compression technique to significantly reduce the entropy of the data being compressed. The study explores the potential benefits of this hybrid approach, demonstrating a substantial improvement in both the quality of generated random numbers and the efficiency of data compression compared to traditional methods. The results showcase a promising pathway for advancing data storage and transmission with enhanced security and performance.

DOI: 10.5281/zenodo.22193814

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